• Currently, a Ph.D. Student in Computer Science at Université Laval, where I am also affiliated with Mila – Quebec Artificial Intelligence Institute as a PhD Researcher and with the Institut Intelligence et Données (IID) as a Student Researcher. Prior to this, I hold a Master’s degree (M.Sc.) in Data Science from the African Institute for Mathematical Sciences, Rwanda. Earlier in my academic journey, I jointly earned two Bachelor’s degrees from the Université of Abomey-Calavi: a B.Sc. in Computer Science (Software Engineering) from the Institut de Formation et de Recherche en Informatique (IFRI) and a B.Sc. in Applied Mathematics from the Faculty of Science and Technology (FAST). For further details regarding my academic background and professional experience, please refer to my CV.

• My research focuses on reinforcement learning, with an emphasis on multi-agent systems and emergent communication. I am particularly interested in how cooperative agents can learn to communicate and coordinate effectively in decentralized environments. My work explores the intersection of multi-agent reinforcement learning, probabilistic pragmatic reasoning, and language-based agents, with the goal of developing principled methods for communication and decision-making in collaborative AI systems.

News

• Our paper AfriGen-Fin: Stress-testing generative models in data-scarce African markets has been accepted at the 18th African Conference on Research in Computer Science and Applied Mathematics (CARI 2026) and will appear in the Springer Communications in Computer and Information Science (CCIS) proceedings.
• Our paper Deep Generative Models for Synthetic Financial Data: Applications to Portfolio and Risk Modeling has been accepted for publication in the T2P Proceedings
• Evaluating Generative Models for Synthetic Financial Data
• Deep Generative Models for Synthetic Financial Data: Applications to Portfolio and Risk Modeling
• Presented an oral paper at the SOSCHI Conference 2025 in Kigali. Proof of presentation available here.
• Ongoing research on reinforcement learning and generative modeling projects.

Research Interests

• Reinforcement Learning
  • Multi-Agent Reinforcement Learning
  • Emergent Communication in Cooperative Agents
  • Decentralized Decision-Making
• Probabilistic Pragmatic Reasoning
  • Rational Speech Act (RSA) Models
  • Communication and Belief Modeling in AI
• Language-based AI Agents
  • LLM Agents
  • Multi-Agent Interaction with Natural Language
• Machine Learning for Cooperative AI

Favourite Quote

“With determination and discipline, anything is possible despite obstacles.” (Since 2016)